did2s 1.1.0

• Added honest_did function to compute a sensitivity analysis using the approach of Rambachan and Roth (2021)

did2s 1.0.2

• Huge speedup with many fixed effects with the assist from @etiennebacher

did2s 1.0.1

• One line change sped-up big datasets something like 15x facepalm

did2s 0.7.0

• Add ARMA_64_BIT for larger matricies

did2s 0.6.0

• Added estimator argument to event_study and added vignette discussing the different estimators’ assumptions
• Fixed “seperate” argument typo in plot_event_study, which may break some previous code (https://github.com/kylebutts/did2s/pull/15/)

did2s 0.5.0

• Made code more robust by improving sparse model matrix creation

• Rewrote covariance matrix creation to be faster and more robust

• Improved block bootstrapping code using boot::boot

• Fixed Sun and Abraham bug in event_study, h/t Frederik Noack

did2s 0.4.0

• Add event_study and plot_event_study functions

• Seperated did_imputation to new package didimputation

did2s 0.3.0

• Add did_imputation following Borusyak, Jaravel, and Spiess (2021)

• Speed up did2s

did2s 0.2.0

• Use sparse matrices to use much less memory

• Fix analytic standard errors when using weights

did2s 0.1.0

• Correct and robust standard errors